Nonparametric Methods In Multivariate Analysis
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Nonparametric Methods In Multivariate Analysis
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Author : Madan Lal Puri
language : en
Publisher:
Release Date : 1971
Nonparametric Methods In Multivariate Analysis written by Madan Lal Puri and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with Mathematics categories.
Nonparametric Methods In Multivariate Analysis
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Author : P.K. Sen
language : en
Publisher:
Release Date : 1941
Nonparametric Methods In Multivariate Analysis written by P.K. Sen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1941 with categories.
Nonparametric Methods For Multivariate Analysis Using Statistically Equivalent Blocks
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Author :
language : en
Publisher:
Release Date : 1996
Nonparametric Methods For Multivariate Analysis Using Statistically Equivalent Blocks written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with categories.
Multivariate statistical procedures developed under normality assumptions are well advanced. Some of these procedures claim robustness properties, especially in a large sample situation, that may serve to broaden their range of application. Nonparametric methods for multivariate analysis have been pursued, but their more complete development awaits further research. This report considers nonparametric multivariate hypothesis testing in both one- and two-sample situations. Comparable univariate procedures do not extend readily to higher dimensions. The methods considered are based on the properties of statistically equivalent blocks. A new approach using a proximity-based cutting function for block construction is described. Statistically equivalent blocks, while holding the promise of important practical application, has received limited research attention.
Multivariate Nonparametric Methods With R
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Author : Hannu Oja
language : en
Publisher: Springer
Release Date : 2010-11-11
Multivariate Nonparametric Methods With R written by Hannu Oja and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-11 with Mathematics categories.
Nonparametric Statistics Theory And Methods
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Author : Jayant V Deshpande
language : en
Publisher: World Scientific
Release Date : 2017-10-17
Nonparametric Statistics Theory And Methods written by Jayant V Deshpande and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-17 with Mathematics categories.
The number of books on Nonparametric Methodology is quite small as compared to, say, on Design of Experiments, Regression Analysis, Multivariate Analysis, etc. Because of being perceived as less effective, nonparametric methods are still the second choice. Actually, it has been demonstrated time and again that they are useful. We feel that there is still need for proper texts/applications/reference books on Nonparametric Methodology.This book will introduce various types of data encountered in practice and suggest the appropriate nonparametric methods, discuss their properties through null and non-null distributions whenever possible and demonstrate the very minor loss in power and efficiency in the nonparametric method, if any.The book will cover almost all topics of current interest such as bootstrapping, ranked set sampling, techniques for censored data and Bayesian analysis under nonparametric set ups.
Nonparametric Methods In Multivariate Analysis By Madan Lal Puri And Pranab Kumar Sen
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Author : Madan Lal Puri
language : en
Publisher:
Release Date : 1971
Nonparametric Methods In Multivariate Analysis By Madan Lal Puri And Pranab Kumar Sen written by Madan Lal Puri and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with Multivariate analysis categories.
Nonparametric Methods For Multivariate Data And Regression Analysis
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Author : Xin Yan
language : en
Publisher:
Release Date : 1998
Nonparametric Methods For Multivariate Data And Regression Analysis written by Xin Yan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.
Modern Nonparametric Robust And Multivariate Methods
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Author : Klaus Nordhausen
language : en
Publisher: Springer
Release Date : 2015-10-05
Modern Nonparametric Robust And Multivariate Methods written by Klaus Nordhausen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-05 with Mathematics categories.
Written by leading experts in the field, this edited volume brings together the latest findings in the area of nonparametric, robust and multivariate statistical methods. The individual contributions cover a wide variety of topics ranging from univariate nonparametric methods to robust methods for complex data structures. Some examples from statistical signal processing are also given. The volume is dedicated to Hannu Oja on the occasion of his 65th birthday and is intended for researchers as well as PhD students with a good knowledge of statistics.
The Use Of Nonparametric Methods Of Multivariate Analysis To Evaluate Adaptive Behaviors In The Retarded
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Author : Ellen M. Naor
language : en
Publisher:
Release Date : 1975
The Use Of Nonparametric Methods Of Multivariate Analysis To Evaluate Adaptive Behaviors In The Retarded written by Ellen M. Naor and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with Human behavior categories.
Nonparametric Statistical Methods Using R
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Author : John Kloke
language : en
Publisher: CRC Press
Release Date : 2024-05-20
Nonparametric Statistical Methods Using R written by John Kloke and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-20 with Mathematics categories.
Praise for the first edition: “This book would be especially good for the shelf of anyone who already knows nonparametrics, but wants a reference for how to apply those techniques in R.” -The American Statistician This thoroughly updated and expanded second edition of Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses. Two new chapters covering multivariate analyses and big data have been added. Core classical nonparametrics chapters on one- and two-sample problems have been expanded to include discussions on ties as well as power and sample size determination. Common machine learning topics --- including k-nearest neighbors and trees --- have also been included in this new edition. Key Features: Covers a wide range of models including location, linear regression, ANOVA-type, mixed models for cluster correlated data, nonlinear, and GEE-type. Includes robust methods for linear model analyses, big data, time-to-event analyses, timeseries, and multivariate. Numerous examples illustrate the methods and their computation. R packages are available for computation and datasets. Contains two completely new chapters on big data and multivariate analysis. The book is suitable for advanced undergraduate and graduate students in statistics and data science, and students of other majors with a solid background in statistical methods including regression and ANOVA. It will also be of use to researchers working with nonparametric and rank-based methods in practice.